Staff Data Analytics Engineer

Sandisk; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Sandisk is seeking a Senior AI/ML Solution Architect to lead GenAI development and enterprise integration across data lakehouse and governance. The role emphasizes designing scalable AI workflows, orchestrating multi-LLM strategies, and implementing agentic pipelines within enterprise systems.

You will drive ontology engineering, cost-aware observability, and knowledge distillation while collaborating with data teams and stakeholders to ensure compliant, high-impact AI solutions.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Sciences, or related fields.
• 8–12+ years in technology roles, with at least 3–5 years in AI/ML solution architecture or enterprise AI implementation.

Responsibilities

• Design GenAI workflows for enterprise use cases.
• Develop prompt engineering strategies and feedback loops for LLM optimization.
• Capture and normalize LLM interactions into reusable Knowledge Artifacts.
• Integrate GenAI systems into enterprise apps (APIs, microservices, workflow engines).
• Architect model gateways to access multiple LLMs (OpenAI, Anthropic, Cohere).
• Design and implement agent-based orchestration for multi-step reasoning and autonomous task execution.
• Architect and maintain Lakehouse environments for structured and unstructured data.

Skills

Python programming

AI/ML architecture

Stakeholder management

Communication skills

Education

Bachelor’s or Master’s degree in CS/Data Science

Tools

Agentic frameworks

Vector databases

LLM APIs

Job description

• Job Type (exemption status): Exempt position - Please see related compensation & benefits details below
• Business Function: Data & Analytics

Company Description

Sandiskunderstands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandiskmeets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibilityforward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globallyforinnovation, performance and quality.

Sandiskhas two facilities recognized by the World EconomicForum as part of the Global Lighthouse Networkforadvanced 4IR innovations. These facilities were also recognized as Sustainability Lighthousesforbreakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world movingforward.

Job Description

1. GenAI Development & Integration

• Design and implement GenAI workflows for enterprise use cases.
• Develop prompt engineering strategies and feedback loops for LLM optimization.
• Capture and normalize LLM interactions into reusable Knowledge Artifacts.
• Integrate GenAI systems into enterprise apps (APIs, microservices, workflow engines)
• Programming languages: Python

2. Model Gateway & Multi-LLM Strategy

• Architect model gateways to access multiple LLMs (OpenAI, Anthropic, Cohere, etc.).
• Dynamically select models based on accuracy vs. cost trade-offs.
• Benchmark and evaluate models for enterprise-grade performance.

3. Agentic Workflows

• Design and implement agent-based orchestration for multi-step reasoning and autonomous task execution.
• Design and implement agentic workflows using industry-standard frameworks for autonomous task orchestration and multi-step reasoning.
• Ensure safe and controlled execution of agentic pipelines across enterprise systems via constraints, policies, and fallback paths.

4. Data Lakehouse & Knowledge Management

• Architect and maintain Lakehouse environments for structured and unstructured data.
• Implement pipelines for document parsing, chunking, and vectorization.
• Maintain knowledge stores, indexing, metadata governance
• Enable semantic search and retrieval using embeddings and vector databases.

5. Ontology & Taxonomy Engineering

• Build and maintain domain-specific ontologies and taxonomies.
• Establish taxonomy governance and versioning.
• Connect semantic registries with LLM learning cycles.
• Enable knowledge distillation from human/LLM feedback.

6. AI Governance & Knowledge Distillation

• Establish frameworks for semantic registry, prompt feedback, and knowledge harvesting.
• Ensure compliance, normalization, and promotion of LLM outputs as enterprise knowledge.

7. Observability & Cost Optimization

• Implement observability frameworks for GenAI systems (performance, latency, drift).
• Monitor and optimize token usage, inference cost, and model efficiency.
• Make Build vs. Buy decisions based on cost-benefit analysis

Qualifications

Educational Background:

• Bachelor’s or Master’s degree in Computer Science, Data Sciences, or related fields.

Professional Background:

• 8–12+ years in technology roles, with at least 3–5 years in AI/ML solution architecture or enterprise AI implementation.

Preferred Skills:

• Certifications in Cloud Architecture
• Experience with Agentic frameworks
• Excellent communication and stakeholder management skills

Additional Information

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at [emailprotected] to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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